Job Description
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Job Summary:
Mechanize is an innovative company focused on building AI-driven solutions. They are seeking a Junior Software Engineer to develop their core simulation platform and consumer software product, while establishing engineering standards and influencing the technical direction of the team.
Responsibilities:
- Build the core simulation platform: Create a realistic, containerized environment where AI agents perform software engineering and other professional tasks.
- Design realistic evaluation scenarios: Independently identify meaningful software engineering tasks, determine clear grading criteria, and select the appropriate tools and workflows that allow AI agents to reliably complete tasks.
- Develop a consumer software product: This product will serve as a foundation for our simulation platform, where we will task AI agents with building and modifying this product. This will require full stack skills from writing a backend in Python and a frontend with web technologies like React, Typescript, HTML and CSS.
- Establish engineering standards: Set up automated testing, practical CI/CD pipelines, effective monitoring, and clear processes to ensure high-quality code and quick issue resolution.
- Influence technical direction: Directly shape product development, make key architectural decisions, and contribute to growing our engineering team at an early-stage startup.
Qualifications:
Required:
- Experience building full-stack software products, including leading at least one significant project from idea to production.
- Fluent in TypeScript (React) and Python, and comfortable with deployments in Kubernetes-based environments.
- Practical experience with designing robust CI/CD processes, automated testing strategies, and effective monitoring and observability.
- Enjoy working closely with users (internal stakeholders and customers) to iterate quickly and deliver functional software.
Preferred:
- Container orchestration platforms (Kubernetes)
- Developer tools or internal platforms
- Reinforcement learning (RL) or machine learning (ML) workflows and infrastructure
Company:
Founded in , the company is headquartered in , with a team of 2-10 employees. The company is currently Early Stage.
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